Reliability of Ultra-Short-Term Analysis as a Surrogate of Standard 5-Min Analysis of Heart Rate Variability
Reliability of Ultra-Short-Term Analysis as a Surrogate of Standard 5-Min Analysis of Heart Rate Variability
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DOI：
10.1089/tmj.2014.0104
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发表时间：
2015-05-01
影响因子：
4.7
通讯作者：
Woo, Jong-Min
中科院分区：
文献类型：
--
作者：
Baek, Hyun Jae;Cho, Chul-Ho;Woo, Jong-Min
背景：尽管实际的动态应用对超短期心率变异性(HRV)的需求越来越大，但很少有研究将R-R间期记录少于5min用于HRV分析。它还没有得到广泛的验证，而且目前还没有关于超短期心率变异性的标准数据。这项研究的目的是通过收集由不同年龄段组成的大量人群的数据来调查标准5分钟心率变异性与超短期心率变异性的关系。材料和方法：467名8~69岁健康志愿者被测5min R-R间期序列。将原始R-R间期分为270、240、210、180、150、120、90、60、30、20和10个S，计算文献中最常见的HRV特征，并与原始5min R-R间期序列进行比较。对不同长度的R-R间期序列计算的每个HRV变量进行皮尔逊相关系数r、Kruskal-Wallis检验的p值和Bland-Altman图分析。结果：对于每个HRV变量，确定了可靠估计5分钟HRV所需的R-R间期的最小长度。结果各年龄段不同：S心率10例，高频S 20例，均方根差S 30例，连续神经网络间期差大于50ms的间隔个数占神经网络总数的比例S 60例，低频、归一化低频、归一化高频和低频/高频90例，S连续神经网络间隔差和时频标准差240例，极低频段S 270例。此外，还给出了正常人短期心率变异性的参考值。结论：由短于5min的R-R间期序列计算的部分HRV变量与由5min的R-R间期序列计算的HRV变量具有良好的匹配性。因此，超短期心率变异性很可能是评估心率变异性趋势的一种很好的替代方法。
Background: Despite the increasing demands of ultra-short-term heart rate (HR) variability (HRV) for practical ambulatory applications, there have been few studies that have investigated R-R interval recording for less than 5 min for HRV analysis. It has not been extensively validated, and, currently, no normative data for ultra-short-term HRV exist. The aim of this study was to investigate the relationship between standard 5-min and ultra-short-term HRV by collecting data from a large population consisting of a wide range of age groups. Materials and Methods: The 5-min R-R interval series were obtained from 467 healthy volunteers ranging from 8 to 69 years of age. The original R-R interval was segmented into 270, 240, 210, 180, 150, 120, 90, 60, 30, 20, and 10 s, and those HRV features most commonly reported within the literature were calculated and compared with those using the original 5-min R-R interval series. The Pearson correlation r, the p value by the Kruskal-Wallis test, and the Bland-Altman plot analysis computations were performed for each HRV variable calculated using different lengths of R-R interval series. Results: For each HRV variable, the minimum length of the R-R interval required to reliably estimate the 5-min HRV was identified. The results were different for each age group: 10 s for HR, 20 s for high-frequency, 30 s for root mean square difference, 60 s for proportion of the number of interval differences of successive NN intervals greater than 50 ms divided by total number of NNs, 90 s for low-frequency, normalized low-frequency, normalized high-frequency, and low-frequency/high-frequency, 240 s for standard deviation of successive NN interval differences and time-frequency, and 270 s for very low-frequency. In addition, the reference value for short-term HRV from normal healthy subjects was also presented. Conclusions: Some HRV variables calculated from R-R interval series shorter than 5 min were well matched with those calculated from the 5-min R-R interval. Thus, ultra-short-term HRV is likely to be a good surrogate method to assess trends in HRV.